Triple
T17770215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oujda |
E443613
|
entity |
| Predicate | nearMountainRange |
P651
|
FINISHED |
| Object | Beni Snassen Mountains |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Beni Snassen Mountains | Statement: [Oujda, nearMountainRange, Beni Snassen Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beni Snassen Mountains Context triple: [Oujda, nearMountainRange, Beni Snassen Mountains]
-
A.
Valtos Mountains
The Valtos Mountains are a rugged mountain range in western Greece, forming part of the interior highlands of the Aetolia-Acarnania region.
-
B.
Sumapaz Massif
The Sumapaz Massif is a high Andean region in central Colombia best known for containing Sumapaz Páramo, the largest páramo (high-altitude tropical moorland) ecosystem in the world.
-
C.
Matra Mountains
The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
-
D.
Lotru Mountains
The Lotru Mountains are a scenic mountain range in Romania known for their rugged peaks, dense forests, and hydroelectric reservoirs, forming part of the Southern Carpathians.
-
E.
Byrranga Mountains
The Byrranga Mountains are a remote, low mountain range in the far north of Siberia, Russia, known for their harsh Arctic climate and largely untouched, rugged terrain.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beni Snassen Mountains Target entity description: The Beni Snassen Mountains are a rugged mountain range in northeastern Morocco known for their distinctive limestone formations, biodiversity, and cultural significance to local Amazigh communities.
-
A.
Valtos Mountains
The Valtos Mountains are a rugged mountain range in western Greece, forming part of the interior highlands of the Aetolia-Acarnania region.
-
B.
Sumapaz Massif
The Sumapaz Massif is a high Andean region in central Colombia best known for containing Sumapaz Páramo, the largest páramo (high-altitude tropical moorland) ecosystem in the world.
-
C.
Matra Mountains
The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
-
D.
Lotru Mountains
The Lotru Mountains are a scenic mountain range in Romania known for their rugged peaks, dense forests, and hydroelectric reservoirs, forming part of the Southern Carpathians.
-
E.
Byrranga Mountains
The Byrranga Mountains are a remote, low mountain range in the far north of Siberia, Russia, known for their harsh Arctic climate and largely untouched, rugged terrain.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485ff928481909fe32260ba57978f |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.